Title :
Neural model of the propagation curves from ITU-R P.370-7
Author_Institution :
Fac. of Electron. Eng., Nis Univ., Serbia
Abstract :
The ITU-R Recommendations are the international technical standards developed by the Radiocommunication Sector of the International Telecommunication Union (ITU). ITU-R is based on reading the diagrams defined in Recommendation ITU-R P.370-7. The main problem with ITU-R method is the extrapolation of the curves with the calculated he that differs from the values shown on the diagrams in Rec. ITU-R P.370-7. We examined a MLP neural model of the propagation curves and proved its accuracy on a few examples providing the best structure of the neural network.
Keywords :
extrapolation; multilayer perceptrons; radiowave propagation; telecommunication computing; telecommunication standards; ITU-R P.370-7; International Telecommunication Union; MLP neural model; Radiocommunication Sector; curve extrapolation; international technical standards; radio propagation curves; Dipole antennas; Economic forecasting; Extrapolation; Frequency; Hardware; Neural networks; Standards development; Statistics; Telecommunication standards; Transmitting antennas;
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2002. NEUREL '02. 2002 6th Seminar on
Print_ISBN :
0-7803-7593-9
DOI :
10.1109/NEUREL.2002.1057996